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An Introduction to R and Python for Data Analysis helps teach
students to code in both R and Python simultaneously. As both R and
Python can be used in similar manners, it is useful and efficient
to learn both at the same time, helping lecturers and students to
teach and learn more, save time, whilst reinforcing the shared
concepts and differences of the systems. This tandem learning is
highly useful for students, helping them to become literate in both
languages, and develop skills which will be handy after their
studies. This book presumes no prior experience with computing, and
is intended to be used by students from a variety of backgrounds.
The side-by-side formatting of this book helps introductory
graduate students quickly grasp the basics of R and Python, with
the exercises providing helping them to teach themselves the skills
they will need upon the completion of their course, as employers
now ask for competency in both R and Python. Teachers and lecturers
will also find this book useful in their teaching, providing a
singular work to help ensure their students are well trained in
both computer languages. All data for exercises can be found here:
https://github.com/tbrown122387/r_and_python_book/tree/master/data.
Key features: - Teaches R and Python in a "side-by-side" way. -
Examples are tailored to aspiring data scientists and
statisticians, not software engineers. - Designed for introductory
graduate students. - Does not assume any mathematical background.
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